Leveraging LLM and Multiscale Knowledge States to Improve Knowledge Tracing in Programming Tasks.
Mingxing Shao|Tiancheng Zhang|Yifang Yin|Wenhui Wu|Zikai Li|Minghe Yu|Fangling Leng|Ge Yu
| Anthology ID: | DBLP:conf/www/ShaoZYWLYLY26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 7378-7389 |
| URL: | https://doi.org/10.1145/3774904.3792525 |
| DOI: | https://doi.org/10.1145/3774904.3792525 |
| DBLP: | conf/www/ShaoZYWLYLY26 |
| BibTeX: |
@inproceedings{shao-2026-leveraging,
author = {Mingxing Shao and
Tiancheng Zhang and
Yifang Yin and
Wenhui Wu and
Zikai Li and
Minghe Yu and
Fangling Leng and
Ge Yu},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{Leveraging LLM and Multiscale Knowledge States to Improve Knowledge Tracing in Programming Tasks}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {7378--7389},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792525},
doi = {https://doi.org/10.1145/3774904.3792525}
}